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Koitenshin/Huihui-InternVL3-2B-abliterated-GGUF
Huihui-InternVL3-2B-abliterated-GGUF is a image-text-to-text model from Koitenshin. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
The necessary multimodal projector for this model has been re-uploaded. The model did not use the F32 version, but does use the F16 version.
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From the Hugging Face model README
The necessary multimodal projector for this model has been re-uploaded. The model did not use the F32 version, but does use the F16 version.
This model was converted to GGUF format from huihui-ai/Huihui-InternVL3-2B-abliterated using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
llama-cli --hf-repo Koitenshin/Huihui-InternVL3-2B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-2b-abliterated-q8_0.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo Koitenshin/Huihui-InternVL3-2B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-2b-abliterated-q8_0.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo Koitenshin/Huihui-InternVL3-2B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-2b-abliterated-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Koitenshin/Huihui-InternVL3-2B-abliterated-Q8_0-GGUF --hf-file huihui-internvl3-2b-abliterated-q8_0.gguf -c 2048